Key Facts

Remote From:

Ukraine

Category: Data Analyst

Full time

Mid-level (2-5 years)

English

Hard Skills

Data Quality Assessment Product Analytics SQL (Programming Language) Analytical Dashboard Data Mining Data Reduction Large Language Modeling System Monitoring Project Management Decision Support Systems +8 more

Other Skills

•
Prioritization
•
Presentations

Roles & Responsibilities

4+ years in a Product / Data / Business / Operations Analyst role in a data-rich environment
Current position must be an analyst role at a tech company (no finance, banking, or insurance backgrounds)
Excellent SQL — daily, hands-on query writing
Proven experience using AI tools in your analytics workflow (e.g., ChatGPT, Claude, Gemini) for query generation, data exploration, or summarization

Requirements:

Own all analytical aspects of your assigned product domains
Build and maintain reports, dashboards, and metrics, and monitor the integrity and validity of the data behind them
Use analytical tools, data mining, and business logic to consult the Product team on day-to-day questions and decisions
Define alerts and monitor performance to improve process efficiency

Commit

About Commit

Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

Company type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

Description

Company is the global leader in AI-driven sports content automation. The platform powers digital asset management, creation, and distribution for the NBA, NHL, ESPN, and dozens of other major leagues, broadcasters, and rights holders worldwide.

You will be the analytical owner of your product domains — turning data into decisions for Product, R&D, Operations, and Business teams. Day to day, you will work hands-on in SQL and BI tools, partner closely with PMs and engineers, and help shape the strategic direction of the product through evidence.

WHAT YOU'LL DO:

Own all analytical aspects of your assigned product domains
Build and maintain reports, dashboards, and metrics, and monitor the integrity and validity of the data behind them
Use analytical tools, data mining, and business logic to consult the Product team on day-to-day questions and decisions
Analyze and optimize products and activities, take part in design and implementation as a key voice in strategic product decisions
Own and manage multiple data initiatives and projects, both ongoing and ad-hoc
Define alerts and monitor performance to improve process efficiency
Provide supporting data to help prioritize new features and initiatives
Work closely with Product, R&D, Operations, and Business teams

Requirements

WHAT YOU'LL NEED:

4+ years in a Product / Data / Business / Operations Analyst role in a data-rich environment
Current position MUST be an analyst role at a tech company (no finance, banking, or insurance backgrounds)
Excellent SQL — daily, hands-on query writing. This is not a role where SQL is occasional; expect to live in it
Strong verbal English (B2+ or higher). You will present findings to PMs, engineers, and business stakeholders directly in English every week.
Proven experience using AI tools in your analytics workflow (e.g. ChatGPT, Claude, Gemini, or similar for query generation, data exploration, or summarization)

NICE TO HAVE: